Detailed Information on Publication Record
2023
Comprehensive analysis of floral scent and fatty acids in nectar of Silene nutans through modern analytical gas chromatography techniques
SPADAFORA, Natasha Damiana, Damien EGGERMONT, Veronika KŘEŠŤÁKOVÁ, Tatiana CHENET, Fabienne VAN ROSSUM et. al.Basic information
Original name
Comprehensive analysis of floral scent and fatty acids in nectar of Silene nutans through modern analytical gas chromatography techniques
Authors
SPADAFORA, Natasha Damiana, Damien EGGERMONT, Veronika KŘEŠŤÁKOVÁ (203 Czech Republic, belonging to the institution), Tatiana CHENET, Fabienne VAN ROSSUM and Giorgia PURCARO (guarantor)
Edition
Journal of Chromatography A, Elsevier, 2023, 0021-9673
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10406 Analytical chemistry
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.100 in 2022
RIV identification code
RIV/00216224:14310/23:00130780
Organization unit
Faculty of Science
UT WoS
000982832600001
Keywords in English
Head-space extraction; Chemometrics; GC × GC; Fatty acids; Volatile organic compounds
Tags
Tags
International impact, Reviewed
Změněno: 2/6/2023 14:53, Mgr. Marie Šípková, DiS.
Abstract
V originále
The aim of this work was to show the potential of multidimensional gas chromatography combined with mass spectrometry and suitable chemometrics means based on untargeted and profiling data analysis to strengthen the information provided by floral scent and nectar fatty acids of four genetically differentiated lineages (E1, W1, W2, and W3) of the nocturnal moth-pollinated herb Silene nutans. Volatile organic compounds emitted by flowers were trapped for a total of 42 samples by in-vivo sampling dynamic head space for analysing floral scent by untargeted approach, while 37 samples of nectar were collected for analysing fatty acids through profiling analysis. The resulting data from floral scent analysis were aligned and compared using a tile-based methodology followed by data mining to access high-level information. Based on floral scent and nectar fatty acid results, it was possible to distinguish E1 from the W lineages, and W3 from W1 and W2. This work puts the bases for a larger study aiming to clarify the existence of prezygotic barriers involved in speciation among lineages of S. nutans, and thus the possible implication of different flower scents and nectar compositions in this phenomenon.